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互联网热点新闻对中国股价的影响研究

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互联网新闻对股价的波动有一定相关性.本文在随机漫步理论的指导下,利用网络爬虫技术采集新闻样本数据,用文本挖掘和文本分类技术将政策类新闻分为支持性新闻和抑制性新闻两类,并用事件研究法实证分析得出不同类型的政策性新闻对股价的影响.结论如下:(1)政策类新闻会对公司个股产生显著影响;支持性政策新闻会对股市产生正向影响,抑制性政策新闻会对股市产生负向影响;(2)支持性政策新闻对股价平均异常收益率的显著性高于抑制性政策新闻对股价的平均异常收益率,但是抑制性政策新闻产生的影响在报道发生后长期存在.
RESEARCH ON IMPACT OF INTERNET NEWS OF CHINESE STOCK PRICE
The Internet is very influential in the securities market,and news reports have a certain relevance to the fluctuation of stock prices.This paper uses web crawler technology to collect news sample data,uses text mining and text classification technology to classify policy news into two categories:supportive news and inhibitory news,and empirically analyses the impact of different types of policy news on stock prices using the event study method.The conclusions are as follows:(1)Policy news will have a significant impact on individual company stocks;supportive policy news will have a positive impact on the stock market,and inhibitory policy news will have a negative impact on the stock market.(2)The significance of supportive policy news on the average abnormal return on stock price is higher than that of inhibitory policy news on the average abnormal return on stock price;and the impact generated by inhibitory policy news persists long after the report occurs.

policy newsweb spidertext miningevent study methodologyabnormal return

孙佳音

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(英)华威大学 制造学院 考文垂 CV48GE

政策类新闻 网络爬虫 文本挖掘 事件研究法 异常收益率

2024

南阳理工学院学报
南阳理工学院

南阳理工学院学报

CHSSCD
影响因子:0.178
ISSN:1674-5132
年,卷(期):2024.16(1)
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